June 9, 2019
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Fast self-configuration in service-oriented Smart Environments for real-time applications

Publicated to: Journal of Ambient Intelligence and Smart Environments. 10 (2): 143-167 - 2018-01-01 10(2), DOI: 10.3233/AIS-180479

Authors:

Bordel, Borja; Alcarria, Ramon; Sanchez de Rivera, Diego; Martin, Diego; Robles, Tomas
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Affiliations

Univ Politecn Madrid, Dept Telemat Syst Engn, Ave Complutense 30, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, Dept Topog Engn & Cartog, Campus Sur, Madrid 28031, Spain - Author

Abstract

Smart Environments (SE) aim to satisfy the experience of individuals by the provision of systems, services and devices. Although many approaches may be followed in order to build a SE, a service-based design is the most promising one nowadays. In these architectures, both physical devices and even humans may provide low-level services based on their capabilities. These low-level services are composed and connected in order to create high-level services, employed by managers to describe the behavior of the SE. This composition process traditionally requires the human intervention, so changes in services are not automatic. However SE should operate at real-time, thus the collection of available services must be always updated. In the state of the art this challenge has been only partially covered, and proposed solutions are still heavy and manual. Therefore, in this work we propose a new fast semi-automatic self-configuration (and automatic self-adaptation) technology for service-oriented SE. The proposed technology is based on the definition of templates at different levels which are related by means of semantic information. Moreover, simple binary mathematical operations are included in order to reduce the convergence time and improve the scalability. A first reduced extension for hybrid approaches (including both humans and physical devices) is also provided. Finally, an experimental validation is conducted in order to evaluate the convergence time of the proposed solution in different scenarios, and demonstrate it is scalable towards future deployments involving thousands of devices and (possibly) humans.
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Keywords

Quality of serviceReal-time applicationsSelf-configurationSemantic web servicesSensorServices compositionSmart environmentsSystem

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal of Ambient Intelligence and Smart Environments, and although the journal is classified in the quartile Q4 (Agencia WoS (JCR)), its regional focus and specialization in Computer Science, Artificial Intelligence, give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • Google Scholar: 13
  • WoS: 10
  • Scopus: 12
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 12 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/85519/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 238
  • Downloads: 158
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (BORDEL SANCHEZ, BORJA) and Last Author (ROBLES VALLADARES, TOMAS ENRIQUE).

the author responsible for correspondence tasks has been BORDEL SANCHEZ, BORJA.

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Awards linked to the item

The research leading to these results has received funding from the Ministry of Economy and Competitiveness through SEMOLA project (TEC2015-68284-R) and from the Autonomous Region of Madrid through MOSI-AGIL-CM project (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER). Borja Bordel has received funding from the Ministry of Education through the FPU program (grant number FPU15/03977).
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